Triple

T13185116
Position Surface form Disambiguated ID Type / Status
Subject Special Metals Corporation E313828 entity
Predicate brand P1500 FINISHED
Object MONEL
MONEL is a family of high-strength, corrosion-resistant nickel-copper alloys widely used in marine, chemical, and aerospace applications.
 E1026990 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MONEL | Statement: [Special Metals Corporation, brand, MONEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MONEL
Context triple: [Special Metals Corporation, brand, MONEL]
  • A. Inconel X
    Inconel X is a high-strength, heat-resistant nickel-based superalloy engineered to withstand extreme temperatures and stresses in aerospace and other demanding applications.
  • B. Nickel
    Nickel is a chemical element and transition metal known for its hardness, corrosion resistance, and widespread use in alloys and batteries.
  • C. Copper
    Copper is a period crime drama television series set in 19th-century New York City, created by Tom Fontana and others.
  • D. Copper
    Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
  • E. Babbitt
    Babbitt is a 1934 American film adaptation of Sinclair Lewis’s novel, featuring Guy Kibbee in the title role as a middle-class businessman confronting the emptiness of his conformist life.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MONEL
Triple: [Special Metals Corporation, brand, MONEL]
Generated description
MONEL is a family of high-strength, corrosion-resistant nickel-copper alloys widely used in marine, chemical, and aerospace applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MONEL
Target entity description: MONEL is a family of high-strength, corrosion-resistant nickel-copper alloys widely used in marine, chemical, and aerospace applications.
  • A. Inconel X
    Inconel X is a high-strength, heat-resistant nickel-based superalloy engineered to withstand extreme temperatures and stresses in aerospace and other demanding applications.
  • B. Nickel
    Nickel is a chemical element and transition metal known for its hardness, corrosion resistance, and widespread use in alloys and batteries.
  • C. Copper
    Copper is a period crime drama television series set in 19th-century New York City, created by Tom Fontana and others.
  • D. Copper
    Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
  • E. Babbitt
    Babbitt is a 1934 American film adaptation of Sinclair Lewis’s novel, featuring Guy Kibbee in the title role as a middle-class businessman confronting the emptiness of his conformist life.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f307408190afd0df16a417c456 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f707d9e48190b772520ca9f4ac2c completed May 3, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_69f6f85149cc8190adf68387475d3286 completed May 3, 2026, 7:25 a.m.
Created at: April 9, 2026, 9:15 p.m.